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[inference] release (#5747)

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* [inference] release

* [inference] release

* [inference] release

* [inference] release

* [inference] release

* [inference] release

* [inference] release
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binmakeswell
2024-05-23 17:44:06 +08:00
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commit 4647ec28c8
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@@ -24,6 +24,7 @@
</div>
## 新闻
* [2024/05] [Large AI Models Inference Speed Doubled, Colossal-Inference Open Source Release](https://hpc-ai.com/blog/colossal-inference)
* [2024/04] [Open-Sora Unveils Major Upgrade: Embracing Open Source with Single-Shot 16-Second Video Generation and 720p Resolution](https://hpc-ai.com/blog/open-soras-comprehensive-upgrade-unveiled-embracing-16-second-video-generation-and-720p-resolution-in-open-source)
* [2024/04] [Most cost-effective solutions for inference, fine-tuning and pretraining, tailored to LLaMA3 series](https://hpc-ai.com/blog/most-cost-effective-solutions-for-inference-fine-tuning-and-pretraining-tailored-to-llama3-series)
* [2024/03] [314 Billion Parameter Grok-1 Inference Accelerated by 3.8x, Efficient and Easy-to-Use PyTorch+HuggingFace version is Here](https://hpc-ai.com/blog/314-billion-parameter-grok-1-inference-accelerated-by-3.8x-efficient-and-easy-to-use-pytorchhuggingface-version-is-here)
@@ -74,11 +75,9 @@
<li>
<a href="#推理">推理</a>
<ul>
<li><a href="#Colossal-Inference">Colossal-Inference: AI大模型推理速度翻倍</a></li>
<li><a href="#Grok-1">Grok-1: 3140亿参数PyTorch + HuggingFace推理</a></li>
<li><a href="#SwiftInfer">SwiftInfer:打破LLM多轮对话的长度限制，推理加速46%</a></li>
<li><a href="#GPT-3-Inference">GPT-3</a></li>
<li><a href="#OPT-Serving">1750亿参数OPT在线推理服务</a></li>
<li><a href="#BLOOM-Inference">1760亿参数 BLOOM</a></li>
</ul>
</li>
<li>
@@ -370,6 +369,19 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
## 推理
### Colossal-Inference
<p align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/inference/colossal-inference-v1-1.png" width=1000/>
</p>
<p align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/inference/colossal-inference-v1-2.png" width=1000/>
</p>
- AI大模型推理速度部分接近翻倍，与vLLM的离线推理性能相比
[[代码]](https://github.com/hpcaitech/ColossalAI/tree/main/colossalai/inference)
[[博客]](https://hpc-ai.com/blog/colossal-inference)
### Grok-1
<p id="Grok-1" align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/examples/images/grok-1-inference.jpg" width=600/>
@@ -388,25 +400,6 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
- [SwiftInfer](https://github.com/hpcaitech/SwiftInfer): 开源解决方案打破了多轮对话的 LLM 长度限制，推理性能提高了46%
<p id="GPT-3-Inference" align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/inference_GPT-3.jpg" width=800/>
</p>
- [Energon-AI](https://github.com/hpcaitech/EnergonAI) ：用相同的硬件推理加速50%
<p id="OPT-Serving" align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/BLOOM%20serving.png" width=600/>
</p>
- [OPT推理服务](https://colossalai.org/docs/advanced_tutorials/opt_service): 体验1750亿参数OPT在线推理服务
<p id="BLOOM-Inference" align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/BLOOM%20Inference.PNG" width=800/>
</p>
- [BLOOM](https://github.com/hpcaitech/EnergonAI/tree/main/examples/bloom): 降低1760亿参数BLOOM模型部署推理成本超10倍
<p align="right">(<a href="#top">返回顶端</a>)</p>
## 安装